پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 685 |
| تعداد مقالات | 9,955 |
| تعداد مشاهده مقاله | 70,608,978 |
| تعداد دریافت فایل اصل مقاله | 62,308,398 |
Providing a dynamic investment model for financing knowledge-based companies with a data mining approach | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 17، دوره 15، شماره 2، اردیبهشت 2024، صفحه 207-222 اصل مقاله (1.02 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30155.4349 | ||
| نویسندگان | ||
| Vahid Godarzi1؛ Mohammad Mashhadizadeh* 2؛ Sayyed Mohammad Reza Davoodi1 | ||
| 1Department of Management, Dehagan Branch, Islamic Azad University, Dehagan, Iran | ||
| 2Department of Management, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Iran | ||
| تاریخ دریافت: 20 آذر 1401، تاریخ بازنگری: 11 اسفند 1401، تاریخ پذیرش: 22 اسفند 1401 | ||
| چکیده | ||
| The development of computer technologies and automated learning techniques can make decision-making easier and more efficient. In the field of machine learning, where computers always make decisions or propose suggestions for proper decision-making, there exist many decision-making techniques such as decision trees, neural networks, etc. Flexibility and comprehensibility are one of the advantages of the decision tree model. The decision tree can provide the possible options, goals, financial profit, and information needed for an investment for the managers better than any other tool. The decision tree is one of the most applicable data mining algorithms. On the other hand, crowdfunding in knowledge-based companies is a new financial phenomenon in online financing of innovative projects and knowledge-based businesses that reduces financing costs and problems in addition to changing the nature of the investment. There are four types of crowdfunding in knowledge-based companies namely donation-based, equity-based, lending-based, and reward-based. Reward-based crowdfunding can be considered the most publicly familiar crowdfunding model, where backers will actively participate in the product development process along with investment. Low-cost crowdfunding websites act in the projects as an online mediatory between the initiators and the sponsors. Therefore, the factors affecting the success of crowdfunding were evaluated in this research regarding the initiators' performance and the sponsors' feedback, and the significant attributes were presented in the form of a decision tree structure using the data mining technique. The results reveal that the best performance of initiators is related to the field of direct investment attraction with 92% accuracy of the decision tree with the most important attributes of "number of updates during the investment period" and "number of dynamic technical and tactical analyses". | ||
| کلیدواژهها | ||
| Initiators and sponsors؛ Crowdfunding؛ Data analysis؛ Knowledge-based Companies؛ Decision tree | ||
| مراجع | ||
|
[1] M. Adria and Y. Mao, Handbook of Research on Citizen Engagement and Public Participation in the Era of New Media, Political Science, 2016. [2] A.K. Agrawal, C. Catalini and A. Goldfarb, The geography of crowdfunding, Nat. Bureau Econ. Res. (2011), no. 16820, 1–63. [3] G.K.C. Ahlers, D. Cumming, C. Gunther and D. Schweizer, Signaling in equity crowdfunding, Entrepreneurship Theory Practice 39 (2015), no. 4, 955–980. [4] T.H. Allison, B.C. Davis, J.C. Short and J.W. Webb, Crowdfunding in a prosocial microlending environment: Examining the role of intrinsic versus extrinsic cues, Entrepreneurship Theory Practice 39 (2015), no. 1, 53–73. [5] A. Balahur, M. Turchi, R. Steinberger, J.-M. Perea-Ortega, G. Jacquet, D. Kucuk, V. Zavarella and A. El Ghali, Resource creation and evaluation for multilingual sentiment analysis in social media texts, Proc. 9th Edition Language Resources and Evaluation Conf. (LREC), 2014, pp. 4265–4269. [6] R. Batra, J.G. Myers and D.A. Aaker, Advertising Management, Prentice-Hall, Inc, 1996. [7] B.L. Bayus, Crowdsourcing new product ideas over time: An analysis of the Dell IdeaStorm community, Manag. Sci. 59 (2012), no. 1, 226–244. [8] P. Belleflamme, T. Lambert and A. Schwienbacher, Individual crowdfunding practices, Venture Capital 15 (2013), no. 4, 313–333. [9] P. Belleflamme, T. Lambert and A. Schwienbacher, Crowdfunding: Tapping the right crowd, J. Bus. Ventur. 29 (2014), no. 5, 585–609. [10] M.H. Bogart, Artists, Advertising, and the Borders of Art, University of Chicago Press, 1995. [11] M. Cholakova and B. Clarysse, Does the possibility to make equity investments in crowdfunding projects crowd out reward-based investments?, Entrepreneurship Theory and Practice 39 (2015), no. 1, 145–172. [12] A. Cordova, J. Dolci and G. Gianfrate, The determinants of crowdfunding success: Evidence from technology projects, Proc.-Soc. Behav. Sci. 181 (2015), 115–124. [13] J.A. Davis, Measuring Marketing: +110 Key Metrics Every Marketer Needs, 2nd Edition, John Wiley & Sons, 2013. [14] S. Freedman and G.Z. Jin, The information value of online social networks: lessons from peer-to-peer lending, Nat. Bureau Econ. Res. 51 (2014), 185–222. [15] D. Frydrych, A.J. Bock, T. Kinder and B. Koeck, Exploring entrepreneurial legitimacy in reward-based crowdfunding, Venture Capital 16 (2014), no. 3, 247–269. [16] E. Gerber and J. Hui, Crowdfunding: motivations and deterrents for participation, ACM Trans. Comput.-Human Interact. (TOCHI) 20 (2013), no. 6, 1–32. [17] R. Gleasure and J. Feller, Emerging technologies and the democratisation of financial services: A meta triangulation of crowdfunding research, Inf. Organ. 26 (2016), no. 4, 101–115. [18] J. Han and M. Kamber, Data Mining: Concepts and Techniques, 2nd ed. Morgan Kaufmann Publishers, 2006. [19] M. Hanke, Airline Ecommerce, Routledge, 2015. [20] H. Katz, The Media Handbook, Mahwah, New Jersey: Lawrence Erlbaum Associates, 2003. [21] L. Kelley, K. Sheehan and D.W. Jugenheimer, Advertising Media Workbook and Sourcebook, Oxford, OX, United Kingdom: Taylor and Francis, 2015. [22] F. Kleemann, G.G. Vos and K. Rieder, Un (der) paid innovators: The commercial utilization of consumer work through crowdsourcing, Sci. Technol. Innov. Stud. 4 (2008), no. 1, 5–26. [23] A. Klever, Behavioural Targeting: An Online Analysis for Efficient Media Planning?, Diplomica Verlag GmbH, 2009. [24] P. Kuo and E. Gerber, Design principles: Crowdfunding as a creativity support tool, CHI Conf. Human Factors Comput. Syst., 2012, pp. 1601–1606. [25] V. Kuppuswamy and B.L. Bayus, Crowdfunding creative ideas: The dynamics of project backers, D. Cumming and L. Hornuf, (eds), The economics of crowdfunding, Palgrave Macmillan, Cham., 2018. [26] O.M. Lehner, Crowdfunding social ventures: a model and research agenda, Venture Capital 15 (2013), no. 4, 289–311. [27] A. Lukkarinen, J.E. Teich, H. Wallenius and J. Wallenius, Success drivers of online equity crowdfunding campaigns, Decis. Support Syst. 87 (2016), 26–38. [28] E. Mollick, The dynamics of crowdfunding: An exploratory study, J. Bus. Ventur. 29 (2013), no. 1, 1–16. [29] K. Nelson-Field and J. Taylor, Facebook fans: A fan for life?, Admap, 2012. [30] S. Pitschner and S. Pitschner-Finn, Non-profit differentials in crowd-based financing: Evidence from 50,000 campaigns, Econ. Lett. 123 (2014), no. 3, 391–394. [31] S. Prowse, Angel investors and the market for angel investments, J. Bank. Finance 22 (1998), no. 6–8, 785–792. [32] M. Rossi, The new ways to raise capital: An exploratory study of crowdfunding, Int. J. Financ. Res. 5 (2014), no. 2, 8–18. [33] S. Sabbar and D. Hyun, What makes it likeable? A study on the reactions to messages in a digital social network: The case of Facebook in Farsi, SpringerPlus 5 (2016), no. 1, 1–21. [34] A. Schwienbacher and B. Larralde, Crowdfunding of Small Entrepreneurial Ventures, Handbook of Entrepreneurial Finance (Oxford University Press), 2010. [35] N. Smitha, Facebook metrics defined: engagement rate, http://simplymeasured.com/blog/2013/08/14/facebookmetrics-defined-engagement-rate/, 2013. [36] J. Sterne, Web Metrics: Proven Methods for Measuring Web Site Success, John Wiley & Sons, Inc, 2002. [37] I. Tussyadiah and A. Inversini, Information and communication technologies in tourism 2015, Proc. Int. Conf., Lugan, Switzerland, 2015. [38] A. Verstein, The misregulation of person-to-person lending, UCDL Rev. 45 (2011), 445. [39] M. Wessel, F. Thies and A. Benlian, The emergence and effects of fake social information: Evidence from crowdfunding, Decis. Support Syst. 90 (2016), 75–85. [40] B. Xu, H. Zheng, Y. Xu and T. Wang, Configurational paths to sponsor satisfaction in crowdfunding, J. Bus. Res. 69 (2016), no. 2, 915–927. [41] H. Zheng, D. Li, J. Wu and Y. Xu, The role of multidimensional social capital in crowdfunding: A comparative study in China and US, Inf. Manag. 51 (2014), no. 4, 488–496. | ||
|
آمار تعداد مشاهده مقاله: 19,243 تعداد دریافت فایل اصل مقاله: 13,103 |
||